{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7b05a680",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "数据形状: (1000, 6)\n",
      "\n",
      "前5行数据:\n",
      "       收入  年龄  性别  历史授信额度  历史违约次数  是否违约\n",
      "0  462087  26   1       0       1     1\n",
      "1  362324  32   0   13583       0     1\n",
      "2  332011  52   1       0       1     1\n",
      "3  252895  39   0       0       1     1\n",
      "4  352355  50   1       0       0     1\n",
      "\n",
      "目标变量分布:\n",
      "是否违约\n",
      "0    601\n",
      "1    399\n",
      "Name: count, dtype: int64\n",
      "违约比例: 0.399\n",
      "\n",
      "训练集形状: (800, 5), 测试集形状: (200, 5)\n",
      "训练集违约比例: 0.3987, 测试集违约比例: 0.4000\n",
      "\n",
      "======================================================================\n",
      "各分类模型性能评估\n",
      "======================================================================\n",
      "\n",
      "=== 逻辑回归 ===\n",
      "准确率: 0.6000\n",
      "AUC分数: 0.5572\n",
      "\n",
      "=== 随机森林 ===\n",
      "准确率: 0.8150\n",
      "AUC分数: 0.8204\n",
      "\n",
      "=== 梯度提升树 ===\n",
      "准确率: 0.8350\n",
      "AUC分数: 0.8532\n",
      "\n",
      "=== AdaBoost ===\n",
      "准确率: 0.8200\n",
      "AUC分数: 0.8452\n",
      "\n",
      "=== SVM ===\n",
      "准确率: 0.6800\n",
      "AUC分数: 0.7160\n",
      "\n",
      "=== K近邻 ===\n",
      "准确率: 0.6550\n",
      "AUC分数: 0.7021\n",
      "\n",
      "=== XGBoost ===\n",
      "准确率: 0.8050\n",
      "AUC分数: 0.8302\n",
      "\n",
      "=== LightGBM ===\n",
      "[LightGBM] [Info] Number of positive: 319, number of negative: 481\n",
      "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000084 seconds.\n",
      "You can set `force_col_wise=true` to remove the overhead.\n",
      "[LightGBM] [Info] Total Bins 500\n",
      "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n",
      "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.398750 -> initscore=-0.410676\n",
      "[LightGBM] [Info] Start training from score -0.410676\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "[LightGBM] [Warning] No further splits with positive gain, best gain: -inf\n",
      "准确率: 0.8200\n",
      "AUC分数: 0.8391\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "======================================================================\n",
      "模型性能比较汇总\n",
      "======================================================================\n",
      "         模型    准确率     AUC分数\n",
      "2     梯度提升树  0.835  0.853229\n",
      "3  AdaBoost  0.820  0.845208\n",
      "7  LightGBM  0.820  0.839063\n",
      "6   XGBoost  0.805  0.830208\n",
      "1      随机森林  0.815  0.820417\n",
      "4       SVM  0.680  0.715990\n",
      "5       K近邻  0.655  0.702135\n",
      "0      逻辑回归  0.600  0.557187\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1600x1200 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "======================================================================\n",
      "特征重要性分析\n",
      "======================================================================\n",
      "随机森林特征重要性:\n",
      "     特征名称       重要性\n",
      "0      收入  0.399985\n",
      "4  历史违约次数  0.240461\n",
      "3  历史授信额度  0.212598\n",
      "1      年龄  0.129607\n",
      "2      性别  0.017350\n",
      "\n",
      "梯度提升树特征重要性:\n",
      "     特征名称       重要性\n",
      "0      收入  0.414370\n",
      "4  历史违约次数  0.362410\n",
      "3  历史授信额度  0.202111\n",
      "1      年龄  0.020306\n",
      "2      性别  0.000803\n",
      "\n",
      "XGBoost特征重要性:\n",
      "     特征名称       重要性\n",
      "4  历史违约次数  0.651628\n",
      "0      收入  0.134034\n",
      "3  历史授信额度  0.101191\n",
      "1      年龄  0.061835\n",
      "2      性别  0.051312\n",
      "\n",
      "LightGBM特征重要性:\n",
      "     特征名称   重要性\n",
      "0      收入  1220\n",
      "3  历史授信额度   835\n",
      "1      年龄   649\n",
      "4  历史违约次数   147\n",
      "2      性别   120\n",
      "\n",
      "======================================================================\n",
      "逻辑回归系数分析\n",
      "======================================================================\n",
      "     特征名称            系数         系数绝对值\n",
      "3  历史授信额度 -1.358082e-06  1.358082e-06\n",
      "0      收入 -8.495885e-07  8.495885e-07\n",
      "1      年龄 -1.512873e-10  1.512873e-10\n",
      "4  历史违约次数  1.373832e-10  1.373832e-10\n",
      "2      性别 -2.281802e-12  2.281802e-12\n",
      "\n",
      "======================================================================\n",
      "最佳模型: 梯度提升树\n",
      "最佳AUC分数: 0.8532\n",
      "======================================================================\n",
      "\n",
      "分类报告:\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.80      0.96      0.87       120\n",
      "           1       0.91      0.65      0.76        80\n",
      "\n",
      "    accuracy                           0.83       200\n",
      "   macro avg       0.86      0.80      0.82       200\n",
      "weighted avg       0.85      0.83      0.83       200\n",
      "\n",
      "混淆矩阵:\n",
      "[[115   5]\n",
      " [ 28  52]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "======================================================================\n",
      "LightGBM参数调优\n",
      "======================================================================\n",
      "[LightGBM] [Info] Number of positive: 319, number of negative: 481\n",
      "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000289 seconds.\n",
      "You can set `force_col_wise=true` to remove the overhead.\n",
      "[LightGBM] [Info] Total Bins 500\n",
      "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n",
      "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.398750 -> initscore=-0.410676\n",
      "[LightGBM] [Info] Start training from score -0.410676\n",
      "最优参数: {'learning_rate': 0.05, 'n_estimators': 30, 'num_leaves': 10}\n",
      "[LightGBM] [Info] Number of positive: 319, number of negative: 481\n",
      "[LightGBM] [Info] Auto-choosing col-wise multi-threading, the overhead of testing was 0.000241 seconds.\n",
      "You can set `force_col_wise=true` to remove the overhead.\n",
      "[LightGBM] [Info] Total Bins 500\n",
      "[LightGBM] [Info] Number of data points in the train set: 800, number of used features: 5\n",
      "[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.398750 -> initscore=-0.410676\n",
      "[LightGBM] [Info] Start training from score -0.410676\n",
      "调优后LightGBM AUC: 0.8642\n",
      "\n",
      "包含调优LightGBM的最终排名:\n",
      "             模型    准确率     AUC分数\n",
      "8  LightGBM(调优)  0.850  0.864219\n",
      "0         梯度提升树  0.835  0.853229\n",
      "1      AdaBoost  0.820  0.845208\n",
      "2      LightGBM  0.820  0.839063\n",
      "3       XGBoost  0.805  0.830208\n",
      "4          随机森林  0.815  0.820417\n",
      "5           SVM  0.680  0.715990\n",
      "6           K近邻  0.655  0.702135\n",
      "7          逻辑回归  0.600  0.557187\n",
      "\n",
      "🎯 最终推荐模型: LightGBM(调优)\n",
      "📊 最佳AUC分数: 0.8642\n",
      "💡 建议: 在客户违约预测场景中，AUC > 0.8 通常表示模型具有良好的区分能力\n",
      "\n",
      "======================================================================\n",
      "业务应用建议\n",
      "======================================================================\n",
      "\n",
      "1. 模型选择: 优先选择AUC分数高且稳定的模型\n",
      "2. 风险阈值: 可根据业务需求调整分类阈值，平衡误报和漏报\n",
      "3. 特征重要性: 关注对违约预测最重要的客户特征\n",
      "4. 监控部署: 定期监控模型性能，及时更新模型\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 设置中文字体支持\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei', 'Microsoft YaHei', 'DejaVu Sans']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 1.读取数据\n",
    "import pandas as pd\n",
    "df = pd.read_excel(\"D:\\贺之恒的python\\pppython\\python商业数据分析\\@Python大数据分析与机器学习商业案例实战\\第10章 机器学习神器：XGBoost&LightGBM模型\\源代码汇总_Pycharm\\客户信息及违约表现.xlsx\"\n",
    "                  )\n",
    "print(\"数据形状:\", df.shape)\n",
    "print(\"\\n前5行数据:\")\n",
    "print(df.head())\n",
    "\n",
    "print(\"\\n目标变量分布:\")\n",
    "print(df['是否违约'].value_counts())\n",
    "print(\"违约比例:\", df['是否违约'].mean())\n",
    "\n",
    "# 2.提取特征变量和目标变量\n",
    "X = df.drop(columns='是否违约')\n",
    "y = df['是否违约']\n",
    "\n",
    "# 3.划分训练集和测试集\n",
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=123, stratify=y)\n",
    "\n",
    "print(f\"\\n训练集形状: {X_train.shape}, 测试集形状: {X_test.shape}\")\n",
    "print(f\"训练集违约比例: {y_train.mean():.4f}, 测试集违约比例: {y_test.mean():.4f}\")\n",
    "\n",
    "# 4.导入多种模型（不包含LightGBM）\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier, AdaBoostClassifier\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.metrics import accuracy_score, roc_auc_score, roc_curve, classification_report, confusion_matrix\n",
    "import numpy as np\n",
    "\n",
    "# 检查是否安装了xgboost\n",
    "try:\n",
    "    from xgboost import XGBClassifier\n",
    "    XGB_AVAILABLE = True\n",
    "except ImportError:\n",
    "    print(\"XGBoost未安装，跳过XGBoost模型\")\n",
    "    XGB_AVAILABLE = False\n",
    "\n",
    "# 检查是否安装了lightgbm\n",
    "try:\n",
    "    from lightgbm import LGBMClassifier\n",
    "    LGBM_AVAILABLE = True\n",
    "except ImportError:\n",
    "    print(\"LightGBM未安装，跳过LightGBM模型\")\n",
    "    LGBM_AVAILABLE = False\n",
    "\n",
    "# 创建模型字典\n",
    "models = {\n",
    "    '逻辑回归': LogisticRegression(random_state=123),\n",
    "    '随机森林': RandomForestClassifier(random_state=123),\n",
    "    '梯度提升树': GradientBoostingClassifier(random_state=123),\n",
    "    'AdaBoost': AdaBoostClassifier(random_state=123),\n",
    "    'SVM': SVC(probability=True, random_state=123),\n",
    "    'K近邻': KNeighborsClassifier()\n",
    "}\n",
    "\n",
    "# 添加可选的模型\n",
    "if XGB_AVAILABLE:\n",
    "    models['XGBoost'] = XGBClassifier(random_state=123)\n",
    "\n",
    "if LGBM_AVAILABLE:\n",
    "    models['LightGBM'] = LGBMClassifier(random_state=123)\n",
    "\n",
    "# 存储结果\n",
    "results = {}\n",
    "\n",
    "# 5.训练和评估各个模型\n",
    "print(\"\\n\" + \"=\"*70)\n",
    "print(\"各分类模型性能评估\")\n",
    "print(\"=\"*70)\n",
    "\n",
    "for model_name, model in models.items():\n",
    "    print(f\"\\n=== {model_name} ===\")\n",
    "    \n",
    "    # 模型训练\n",
    "    model.fit(X_train, y_train)\n",
    "    \n",
    "    # 模型预测\n",
    "    y_pred = model.predict(X_test)\n",
    "    y_pred_proba = model.predict_proba(X_test)[:, 1]\n",
    "    \n",
    "    # 评估指标\n",
    "    accuracy = accuracy_score(y_test, y_pred)\n",
    "    auc_score = roc_auc_score(y_test, y_pred_proba)\n",
    "    \n",
    "    print(f\"准确率: {accuracy:.4f}\")\n",
    "    print(f\"AUC分数: {auc_score:.4f}\")\n",
    "    \n",
    "    # 存储结果\n",
    "    results[model_name] = {\n",
    "        'model': model,\n",
    "        'accuracy': accuracy,\n",
    "        'auc': auc_score,\n",
    "        'y_pred': y_pred,\n",
    "        'y_pred_proba': y_pred_proba\n",
    "    }\n",
    "\n",
    "# 6.绘制所有模型的ROC曲线\n",
    "plt.figure(figsize=(14, 10))\n",
    "colors = ['blue', 'red', 'green', 'orange', 'purple', 'brown', 'pink', 'gray', 'cyan', 'yellow']\n",
    "\n",
    "for i, (model_name, result) in enumerate(results.items()):\n",
    "    fpr, tpr, _ = roc_curve(y_test, result['y_pred_proba'])\n",
    "    plt.plot(fpr, tpr, color=colors[i], lw=2.5, \n",
    "             label=f'{model_name} (AUC = {result[\"auc\"]:.3f})')\n",
    "\n",
    "plt.plot([0, 1], [0, 1], 'k--', lw=2, label='随机分类器 (AUC = 0.5)')\n",
    "plt.xlim([0.0, 1.0])\n",
    "plt.ylim([0.0, 1.05])\n",
    "plt.xlabel('假正率 (False Positive Rate)', fontsize=14)\n",
    "plt.ylabel('真正率 (True Positive Rate)', fontsize=14)\n",
    "plt.title('客户违约预测模型 - ROC曲线比较', fontsize=16, fontweight='bold')\n",
    "plt.legend(loc=\"lower right\", fontsize=12)\n",
    "plt.grid(True, alpha=0.3)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 7.比较模型性能\n",
    "print(\"\\n\" + \"=\"*70)\n",
    "print(\"模型性能比较汇总\")\n",
    "print(\"=\"*70)\n",
    "\n",
    "performance_df = pd.DataFrame({\n",
    "    '模型': list(results.keys()),\n",
    "    '准确率': [result['accuracy'] for result in results.values()],\n",
    "    'AUC分数': [result['auc'] for result in results.values()]\n",
    "}).sort_values('AUC分数', ascending=False)\n",
    "\n",
    "print(performance_df)\n",
    "\n",
    "# 8.可视化模型性能比较（修复后的版本）\n",
    "fig, axes = plt.subplots(2, 2, figsize=(16, 12))\n",
    "\n",
    "# AUC分数比较\n",
    "bars1 = axes[0,0].bar(performance_df['模型'], performance_df['AUC分数'], \n",
    "                     color=plt.cm.Set3(np.arange(len(performance_df))), alpha=0.8)\n",
    "axes[0,0].set_title('各模型AUC分数比较', fontsize=14, fontweight='bold')\n",
    "axes[0,0].set_ylabel('AUC分数', fontsize=12)\n",
    "axes[0,0].tick_params(axis='x', rotation=45)\n",
    "# 在柱状图上添加数值\n",
    "for bar in bars1:\n",
    "    height = bar.get_height()\n",
    "    axes[0,0].text(bar.get_x() + bar.get_width()/2., height + 0.01,\n",
    "                  f'{height:.3f}', ha='center', va='bottom', fontweight='bold')\n",
    "\n",
    "# 准确率比较\n",
    "bars2 = axes[0,1].bar(performance_df['模型'], performance_df['准确率'], \n",
    "                     color=plt.cm.Pastel1(np.arange(len(performance_df))), alpha=0.8)\n",
    "axes[0,1].set_title('各模型准确率比较', fontsize=14, fontweight='bold')\n",
    "axes[0,1].set_ylabel('准确率', fontsize=12)\n",
    "axes[0,1].tick_params(axis='x', rotation=45)\n",
    "for bar in bars2:\n",
    "    height = bar.get_height()\n",
    "    axes[0,1].text(bar.get_x() + bar.get_width()/2., height + 0.01,\n",
    "                  f'{height:.3f}', ha='center', va='bottom', fontweight='bold')\n",
    "\n",
    "# 特征重要性对比 - 树模型\n",
    "tree_models = ['随机森林', '梯度提升树', 'XGBoost']\n",
    "if LGBM_AVAILABLE:\n",
    "    tree_models.append('LightGBM')\n",
    "\n",
    "feature_importance_data = []\n",
    "\n",
    "for model_name in tree_models:\n",
    "    if model_name in results:\n",
    "        model = results[model_name]['model']\n",
    "        importances = model.feature_importances_\n",
    "        for feature, importance in zip(X.columns, importances):\n",
    "            feature_importance_data.append({\n",
    "                '模型': model_name,\n",
    "                '特征': feature,\n",
    "                '重要性': importance\n",
    "            })\n",
    "\n",
    "if feature_importance_data:\n",
    "    importance_df = pd.DataFrame(feature_importance_data)\n",
    "    \n",
    "    # 选择最重要的特征进行展示\n",
    "    top_features = importance_df.groupby('特征')['重要性'].mean().nlargest(5).index\n",
    "    \n",
    "    for i, feature in enumerate(top_features):\n",
    "        feature_data = importance_df[importance_df['特征'] == feature]\n",
    "        x_pos = np.arange(len(tree_models)) + i * 0.2\n",
    "        axes[1,0].bar(x_pos, feature_data['重要性'], width=0.2, label=feature, alpha=0.8)\n",
    "        \n",
    "    axes[1,0].set_xlabel('模型', fontsize=12)\n",
    "    axes[1,0].set_ylabel('特征重要性', fontsize=12)\n",
    "    axes[1,0].set_title('重要特征在不同模型中的重要性', fontsize=14, fontweight='bold')\n",
    "    axes[1,0].set_xticks(np.arange(len(tree_models)) + 0.4)\n",
    "    axes[1,0].set_xticklabels(tree_models)\n",
    "    axes[1,0].legend()\n",
    "    axes[1,0].tick_params(axis='x', rotation=45)\n",
    "else:\n",
    "    axes[1,0].text(0.5, 0.5, '无树模型特征重要性数据', \n",
    "                  ha='center', va='center', transform=axes[1,0].transAxes, fontsize=12)\n",
    "    axes[1,0].set_title('特征重要性对比', fontsize=14, fontweight='bold')\n",
    "\n",
    "# 预测概率分布（最佳模型）\n",
    "best_model_name = performance_df.iloc[0]['模型']\n",
    "best_y_pred_proba = results[best_model_name]['y_pred_proba']\n",
    "axes[1,1].hist(best_y_pred_proba[y_test == 0], bins=30, alpha=0.7, \n",
    "               label='非违约客户', color='blue', edgecolor='black')\n",
    "axes[1,1].hist(best_y_pred_proba[y_test == 1], bins=30, alpha=0.7, \n",
    "               label='违约客户', color='red', edgecolor='black')\n",
    "axes[1,1].set_xlabel('预测概率', fontsize=12)\n",
    "axes[1,1].set_ylabel('频数', fontsize=12)\n",
    "axes[1,1].set_title(f'{best_model_name} - 预测概率分布', fontsize=14, fontweight='bold')\n",
    "axes[1,1].legend()\n",
    "axes[1,1].grid(True, alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 9.详细特征重要性分析\n",
    "print(\"\\n\" + \"=\"*70)\n",
    "print(\"特征重要性分析\")\n",
    "print(\"=\"*70)\n",
    "\n",
    "# 随机森林特征重要性\n",
    "if '随机森林' in results:\n",
    "    rf_model = results['随机森林']['model']\n",
    "    rf_importances = pd.DataFrame({\n",
    "        '特征名称': X.columns,\n",
    "        '重要性': rf_model.feature_importances_\n",
    "    }).sort_values('重要性', ascending=False)\n",
    "    \n",
    "    print(\"随机森林特征重要性:\")\n",
    "    print(rf_importances)\n",
    "\n",
    "# 梯度提升树特征重要性\n",
    "if '梯度提升树' in results:\n",
    "    gbdt_model = results['梯度提升树']['model']\n",
    "    gbdt_importances = pd.DataFrame({\n",
    "        '特征名称': X.columns,\n",
    "        '重要性': gbdt_model.feature_importances_\n",
    "    }).sort_values('重要性', ascending=False)\n",
    "    \n",
    "    print(\"\\n梯度提升树特征重要性:\")\n",
    "    print(gbdt_importances.head(10))\n",
    "\n",
    "# XGBoost特征重要性\n",
    "if 'XGBoost' in results:\n",
    "    xgb_model = results['XGBoost']['model']\n",
    "    xgb_importances = pd.DataFrame({\n",
    "        '特征名称': X.columns,\n",
    "        '重要性': xgb_model.feature_importances_\n",
    "    }).sort_values('重要性', ascending=False)\n",
    "    \n",
    "    print(\"\\nXGBoost特征重要性:\")\n",
    "    print(xgb_importances.head(10))\n",
    "\n",
    "# LightGBM特征重要性\n",
    "if 'LightGBM' in results:\n",
    "    lgb_model = results['LightGBM']['model']\n",
    "    lgb_importances = pd.DataFrame({\n",
    "        '特征名称': X.columns,\n",
    "        '重要性': lgb_model.feature_importances_\n",
    "    }).sort_values('重要性', ascending=False)\n",
    "    \n",
    "    print(\"\\nLightGBM特征重要性:\")\n",
    "    print(lgb_importances.head(10))\n",
    "\n",
    "# 10.逻辑回归系数分析\n",
    "print(\"\\n\" + \"=\"*70)\n",
    "print(\"逻辑回归系数分析\")\n",
    "print(\"=\"*70)\n",
    "\n",
    "if '逻辑回归' in results:\n",
    "    lr_model = results['逻辑回归']['model']\n",
    "    lr_coefficients = pd.DataFrame({\n",
    "        '特征名称': X.columns,\n",
    "        '系数': lr_model.coef_[0],\n",
    "        '系数绝对值': abs(lr_model.coef_[0])\n",
    "    }).sort_values('系数绝对值', ascending=False)\n",
    "    \n",
    "    print(lr_coefficients)\n",
    "\n",
    "# 11.选择最佳模型并进行详细分析\n",
    "best_model_name = performance_df.iloc[0]['模型']\n",
    "best_model = results[best_model_name]['model']\n",
    "best_auc = performance_df.iloc[0]['AUC分数']\n",
    "\n",
    "print(f\"\\n\" + \"=\"*70)\n",
    "print(f\"最佳模型: {best_model_name}\")\n",
    "print(f\"最佳AUC分数: {best_auc:.4f}\")\n",
    "print(\"=\"*70)\n",
    "\n",
    "# 使用最佳模型进行详细预测分析\n",
    "best_y_pred = results[best_model_name]['y_pred']\n",
    "best_y_pred_proba = results[best_model_name]['y_pred_proba']\n",
    "\n",
    "print(\"\\n分类报告:\")\n",
    "print(classification_report(y_test, best_y_pred))\n",
    "\n",
    "print(\"混淆矩阵:\")\n",
    "cm = confusion_matrix(y_test, best_y_pred)\n",
    "print(cm)\n",
    "\n",
    "# 12.可视化混淆矩阵\n",
    "fig, axes = plt.subplots(1, 2, figsize=(15, 6))\n",
    "\n",
    "# 混淆矩阵热力图\n",
    "im = axes[0].imshow(cm, interpolation='nearest', cmap=plt.cm.Blues)\n",
    "axes[0].set_title(f'{best_model_name} - 混淆矩阵', fontsize=14, fontweight='bold')\n",
    "plt.colorbar(im, ax=axes[0])\n",
    "tick_marks = np.arange(2)\n",
    "axes[0].set_xticks(tick_marks)\n",
    "axes[0].set_yticks(tick_marks)\n",
    "axes[0].set_xticklabels(['预测非违约', '预测违约'])\n",
    "axes[0].set_yticklabels(['实际非违约', '实际违约'])\n",
    "axes[0].set_xlabel('预测标签')\n",
    "axes[0].set_ylabel('真实标签')\n",
    "\n",
    "# 在图中添加数字\n",
    "thresh = cm.max() / 2.\n",
    "for i, j in np.ndindex(cm.shape):\n",
    "    axes[0].text(j, i, format(cm[i, j], 'd'),\n",
    "                horizontalalignment=\"center\",\n",
    "                color=\"white\" if cm[i, j] > thresh else \"black\",\n",
    "                fontweight='bold')\n",
    "\n",
    "# 模型性能对比（替代雷达图）\n",
    "models_compare = performance_df.head(4)  # 取前4个模型\n",
    "x = range(len(models_compare))\n",
    "width = 0.35\n",
    "\n",
    "axes[1].bar([i - width/2 for i in x], models_compare['AUC分数'], width, label='AUC分数', alpha=0.8)\n",
    "axes[1].bar([i + width/2 for i in x], models_compare['准确率'], width, label='准确率', alpha=0.8)\n",
    "axes[1].set_xlabel('模型')\n",
    "axes[1].set_ylabel('分数')\n",
    "axes[1].set_title('Top4模型性能对比', fontsize=14, fontweight='bold')\n",
    "axes[1].set_xticks(x)\n",
    "axes[1].set_xticklabels(models_compare['模型'], rotation=45)\n",
    "axes[1].legend()\n",
    "axes[1].grid(True, alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 13.如果安装了LightGBM，进行参数调优\n",
    "if LGBM_AVAILABLE:\n",
    "    print(\"\\n\" + \"=\"*70)\n",
    "    print(\"LightGBM参数调优\")\n",
    "    print(\"=\"*70)\n",
    "    \n",
    "    from sklearn.model_selection import GridSearchCV\n",
    "    \n",
    "    parameters = {\n",
    "        'num_leaves': [10, 15, 31], \n",
    "        'n_estimators': [10, 20, 30], \n",
    "        'learning_rate': [0.05, 0.1, 0.2]\n",
    "    }\n",
    "    \n",
    "    lgb_tuned = LGBMClassifier(random_state=123)\n",
    "    grid_search = GridSearchCV(lgb_tuned, parameters, scoring='roc_auc', cv=5, n_jobs=-1)\n",
    "    \n",
    "    grid_search.fit(X_train, y_train)\n",
    "    print(\"最优参数:\", grid_search.best_params_)\n",
    "    \n",
    "    # 使用调优后的参数重新训练\n",
    "    lgb_tuned_model = LGBMClassifier(**grid_search.best_params_, random_state=123)\n",
    "    lgb_tuned_model.fit(X_train, y_train)\n",
    "    \n",
    "    lgb_tuned_proba = lgb_tuned_model.predict_proba(X_test)[:, 1]\n",
    "    lgb_tuned_auc = roc_auc_score(y_test, lgb_tuned_proba)\n",
    "    print(f\"调优后LightGBM AUC: {lgb_tuned_auc:.4f}\")\n",
    "    \n",
    "    # 添加到比较中\n",
    "    tuned_results = {\n",
    "        '模型': 'LightGBM(调优)',\n",
    "        '准确率': accuracy_score(y_test, lgb_tuned_model.predict(X_test)),\n",
    "        'AUC分数': lgb_tuned_auc\n",
    "    }\n",
    "    \n",
    "    final_performance_df = pd.concat([performance_df, pd.DataFrame([tuned_results])], ignore_index=True)\n",
    "    final_performance_df = final_performance_df.sort_values('AUC分数', ascending=False)\n",
    "    \n",
    "    print(\"\\n包含调优LightGBM的最终排名:\")\n",
    "    print(final_performance_df)\n",
    "    \n",
    "    best_model_name = final_performance_df.iloc[0]['模型']\n",
    "    best_auc = final_performance_df.iloc[0]['AUC分数']\n",
    "else:\n",
    "    print(\"\\nLightGBM未安装，跳过参数调优\")\n",
    "    final_performance_df = performance_df\n",
    "\n",
    "print(f\"\\n🎯 最终推荐模型: {best_model_name}\")\n",
    "print(f\"📊 最佳AUC分数: {best_auc:.4f}\")\n",
    "print(f\"💡 建议: 在客户违约预测场景中，AUC > 0.8 通常表示模型具有良好的区分能力\")\n",
    "\n",
    "# 14.业务应用建议\n",
    "print(f\"\\n{'='*70}\")\n",
    "print(\"业务应用建议\")\n",
    "print(f\"{'='*70}\")\n",
    "\n",
    "print(\"\"\"\n",
    "1. 模型选择: 优先选择AUC分数高且稳定的模型\n",
    "2. 风险阈值: 可根据业务需求调整分类阈值，平衡误报和漏报\n",
    "3. 特征重要性: 关注对违约预测最重要的客户特征\n",
    "4. 监控部署: 定期监控模型性能，及时更新模型\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "faf66853",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
